Akrem SELLAMI Ph.D in Signal, Image, Vision (SIV)

Postdoctoral Researcher at Aix-Marseille University, Marseille ()

Data Science, Qarma (Machine learning) team (LIS) and Banco team (INT)

1 Personal Data Professional situation : Postdoctoral Researcher, University of Aix-Marseille Birth date : 02/12/1985 Place of birth : Jendouba, Tunisia Address : 163, avenue de Luminy-13288 Marseille Cedex 9, France Phone : +33 (0) 753908573 Email : [email protected] ; [email protected] Home page : https://pageperso.lis-lab.fr/akrem.sellami/

2 Research Area

Machine Learning, Multi-view Learning, Computer Vision, Data Analytics, Statistical Signal and Image Processing, Applied Mathematics My research area include machine learning (deep learning, representation learning,...), dimensionality reduction (features extraction/selection, multi-linear algebra), data analytics, as well as applications to brain and satellite images.

3 Education Oct. 2014-Dec. 2017 Ph.D in Signal, Image, Vision (SIV) Doctoral School of Mathematics and Science and TIC (MathSTIC) Bretagne Loire University, IMT Atlantique, Brest, France Topic : Semantic interpretation of hyperspectral images based on adaptive reduction of dimensionality Advisors : Prof. Basel Solaiman and Prof. Imed Riadh Farah Defense date : December 11, 2017 Distinction : Very Honorable

Sept.2010-Dec.2012 MSc in Computer Science : Data, Knowledge and Distributed Systmes University of Jendouba, Jendouba, Tunisia Topic : Integration of spatio-temporal relationships in Hidden Markov Chains for intra-urban monitoring Advisors : Prof. Imed Riadh Farah and Prof. Vincent Barra Internship : Geometry, Image, Learning, Algorithm Group, LIMOS laboratory, university, Clermont-Ferrand, France Defense date : December 21, 2012 Distinction : Very Good

Sept.2007-June 2009 BSc in Computer Science University of Jendouba, Jendouba, Tunisia Senior year thesis : Analysis of spatio-temporal changes in a Satellite Image Time Series based on Hidden Markov Model Distinction : Very Good

Sept.2004-June 2007 Applied license in Computer Science Applied to Management University of Jendouba, Jendouba, Tunisia Topic : Creation and development of E-Learning web platform Distinction : Good

1 4 Work Experience

Oct. 2018-present Postdoctoral Researcher, Aix-Marseille University, France Qarma team (LIS) and Banco Team (INT)

Oct. 2017-Aug. 2018 Research Assistant, IUT, Descartes University, France SOCS team (LIPADE)

June. 2016-Aug. 2017 Research Internee ITI Department, IMT Atlantique, Brest, France

June. 2015-Aug. 2016 Research Internee ITI Department, IMT Atlantique, Brest, France

Aug. 2012-Dec. 2012 Research Internee LIMOS laboratory, Blaise Pascal University, Clermont-Ferrand, France

5 Publications

All my publications are accessible in my personal page : https://pageperso.lis-lab.fr/akrem.sellami/

5.1 Articles in International Journals — Akrem Sellami, Mohamed Farah, Imed Riadh Farah, and Basel Solaiman. "Hyperspectral Imagery Se- mantic Interpretation based on Adaptive Constrained Band Selection and Knowledge Extraction Tech- niques", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 4, pp.1-11, Feb. 2018. — Hakima Khelifi, Senlin Luo, Boubakr Nour, Akrem Sellami, Hassine Moungla, Ahmed Syed Hassan, and Mohsen Guizani. "Bringing Deep Learning at The Edge of Information-Centric Internet of Things", IEEE Communications Letters pp. 1-4. 2018 — Akrem Sellami, and Imed Riadh Farah. "High-level hyperspectral image classification based on spectro- spatial dimensionality reduction", Spatial Statistics, Elsevier, vol. 16, pp. 103-117, 2016. — Houcine Essid, Imed Riadh Farah, Akrem Sellami, and Vincent Barra. "Monitoring intra-urban changes with hidden Markov models using the spatial relationships",International Journal on Graphics, Vision and Image Processing, vol. 12, no. 1, pp. 49-55, 2012.

5.2 Articles in Peer-Reviewed International Conferences — Akrem Sellami, and Mohamed Farah, "Comparative Study of Dimensionality Reduction Methods for Remote Sensing Images Interpretation". International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 21-24 Mars 2018, Sousse, Tunisia. — Rawaa Hamdi, Akrem Sellami, and Imed Riadh Farah, "An adaptive semantic dimensionality reduction approach for hyperspectral imagery classification". International Conference on Advanced Technologies for Signal and Image Processing (ATSIP), 21-24 Mars 2018, Sousse, Tunisia. — Mohammed Laroui, Akrem Sellami, Boubaker Nour, Hassine Moungla, Hossam Afifi and Sofiene Has- sen "Driving Path Stability in VANETs", 2018 IEEE Global Communications Conference [ACCEPTED]. — Hakima Khelifi, Senlin Luo, Boubaker Nour, Akrem Sellami, Hassine Moungla, and Farid Nait- Abdessalam "An Optimized Proactive Caching Scheme based on Mobility Prediction for Vehicular Net- works", 2018 IEEE Global Communications Conference [ACCEPTED] [Best Paper]. — Akrem Sellami, Karim Saheb Ettabaa, Imed Riadh Farah and Basel Solaiman, "Interpretation of hyperspectral imagery based on hybrid dimensionality reduction methods". IEEE, Image Processing, Applications and Systems Conference (IPAS), 05-07 novembre 2014, Hammamet, Tunisia. — Akrem Sellami, Imed Riadh Farah and Basel Solaiman, "Interprétation sémantique d’images hyper- spectrales basée sur la réduction adaptative de dimensionnalité". PHénomènes Aléatoires pour la Repré- sentation des signaux et d’imagES (PHARES), 22-24 mai 2017, Hammamet, Tunisia. — Akrem Sellami, Imed Riadh Farah, and Basel Solaiman. "Sélection adaptative des bandes spectrales basée sur les techniques de projection pour la classification en imagerie hyperspectrale". 5eme édition des ateliers Représentation des Formes et des Mouvements à partir des données Images (RFMI), 11-12 novembre 2017, Hammamet, Tunisia.

2 — Akrem Sellami, Imed Riadh Farah. "Classification of hyperspectral images based on progressive band selection and eigenmaps techniques". Traitement et Analyse de l’Information : Méthodes et Applications (TAIMA), 11-16 mai 2015, Hammamet, Tunisia. — Karim Saheb Ettabaa, Akrem Sellami, Zouhaier Ben Rabah, "Toward a mixed progressive band se- lection approach for dimensionality reduction in hyperspectral images", 35th Canadian Symposium on Remote Sensing, IEEE International Geoscience and Remote Sensing Symposium(IGARSS), 13-18 juillet 2014, Quebec, Canada.

5.3 Submitted papers — Akrem Sellami, Mohamed Farah, Imed Riadh Farah, and Basel Solaiman "Hyperspectral Imagery Classification based on Semi-Supervised 3-D Deep Neural Network and Adaptive Band Selection ", Expert Systems with Applications Journal (Elsevier).

5.4 Theses — Akrem Sellami, "Semantic interpretation of hyperspectral images based on adaptive reduction of di- mensionality", Ph.D. thesis, Bretagne Loire University, IMT Atlantique, Brest, France, December 2017. — Akrem Sellami, "Integration of spatio-temporal relationships in Hidden Markov Chains for intra-urban monitoring", Master’s thesis, University of Jendouba, Tunisia, December 2012.

6 Teaching activities

2017-2018, IUT Paris Descartes, Paris, France — Computer systems ( Lecture, DUT 1 Computer Science) — Network and services ( Lecture, DUT 1 Computer Science)

2016-2017, FSJEGJ, University of Jendouba, Tunisia — Logical systems ( Lecture, Bachelor students) — Computer architecture ( Lecture, Bachelor students)

2015-2016, FSJEGJ, University of Jendouba, Tunisia — Graph Theory ( Lecture, Bachelor students) — Operating Systems ( Lecture, Bachelor students) — Teamwork ( Lecture, Bachelor students)

2014-2015, ISAMM, University of Manouba, Tunisia — Graph Theory and Optimization( Lecture, DUT 1 Computer Science) — Data base ( Lecture, DUT 1 Computer Science) — Multimedia Networks ( Lecture, DUT 1 Computer Science)

Reviewer : — Journal : IEEE Geoscience and Remote Sensing Letters (IGRSL), IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), IET Image Processing (IETIP) — Conferences : Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)

Students Master Student : — Raoua Hamdi, 2016-2017, University of Jendouba, co-advising with Prof. Imed Riadh Farah : "Spectro- Spatial Classification of Hyperspectral Imagery based on Semantic Dimensionality Reduction".

3 7 Technical experiences

— Developed applications — Deep Learning for Remote Sensing Images Classification : deep features extraction with 3-D Convo- lutional Neural Network (3-D CNN) and semi-supervised mutual information (Python/C++). — Spectro-spatial dimensionality reduction for hyperspectral image classification : Tensor model, fea- tures extraction with locality preserving projection (TLPP), rules extraction with k-means and SVM (MATLAB). — Semantic reduction based on principal component analysis (PCA) and mutual information (MAT- LAB). — Band selection based on learning hypergraph model (MATLAB). — Spatio-temporal analysis of satellites images and changes prevision with hidden model markov (MAT- LAB + ENVI).

8 Skills

— Programming : Matlab, Python (Tensor flow, OpenCV, Scikit-learn, Numpy, Scipy, Pillow), C/C++, Java. — Mathematics : Neural Networks, Data analysis (representation, transformation and visualization), dimensionality reduction, linear programming, multi-linear algebra (tensor model), graph theory, Markov models, Bayes networks. — Scientific software : — Image processing : Matlab, Anaconda, OTB, ENVI and QGIS. — Netbeans, Julia, Jetbrains

9 Languages

English : Fluent | French : Fluent | Arabic : Mother tongue

10 Interests and activities

Programming, Technology | Traveling

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